Islam et al. in Deep Metric [1]} replaced metric \(d\)  with a class-specific metric \(D_c\)  defined for each class \(c\) . Rashid et al. in Action Graphs [2]} applied a GCN to transform each temporal segment’s feature representation to a weighted average of its neighbors. Then updated features are used in CASL for localization. The advantage of this GCN is to model temporal dependencies, cluster the semantically-similar time segments, and pushing dissimilar segments apart.
